First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that “by 2024, low-code application development will be responsible for more than 65% of application development activity.” Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant.
Mendix, the global leader in enterprise low-code, was created to promote collaboration between Business & IT teams. Thousands of forward-thinking companies around the world like Ford Auto, Rabobank Netherlands, Zurich Insurance, and Red Bull, can unleash their best ideas faster with the help of the Mendix Platform.
Mendix is a Siemens Business:
Siemens is a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens’ unbeatable market position and resources.
Pre-sales Consultants influence and support the sales process with a powerful combination of technical product knowledge, industry domain expertise and business acumen, with particular emphasis on deep discovery of customer AI/data ecosystems and strategic positioning of emerging AI technologies.
Data is the Battleground where winning businesses transform into AI-driven enterprises. Our flagship Knowledge Graph platform, including Altair Graph Studio and Altair Graph Lakehouse, differentiates in the highly competitive and hyper-growth data platform market by serving as the critical foundation for Agentic and Generative AI initiatives. Our Knowledge Graph platform allows customers to integrate and discover data through enterprise data fabric while enabling sophisticated AI agents and LLMs to reason over enterprise knowledge with unprecedented accuracy and context. The platform's secret sauce is a nexus of semantic technology, graph databases and cloud computing that delivers at speed and scale never before possible - now supercharged as the essential enabler for next-generation AI applications. We need you to help us make it happen even faster!
We are seeking a Principal Presales Consultant to match capabilities of our Altair Graph Studio, Altair Graph Lakehouse, and comprehensive suite of data analytics tools to business problems in the data management, analytics, and AI transformation space. Pre-sales are all about showing value to the customer through comprehensive discovery of their AI/data ecosystem maturity, strategic AI initiatives, and positioning our Knowledge Graph platform as the foundational layer for Agentic AI success. We're looking for smart self-starters with strong analytical and problem-solving skills in the modern data management, data engineering, and AI/ML implementation space to be the pointy end of the spear for Siemens DISW.
Key Focus Areas:
AI Ecosystem Assessment: Deep discovery of customer AI/ML maturity, existing AI initiatives, and strategic AI roadmaps
Agentic AI Enablement: Positioning our Knowledge Graph platform as the critical foundation for AI agents, autonomous systems, and intelligent automation
Generative AI Integration: Demonstrating how Altair Graph Studio and Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable enterprise-grade AI applications
Data-to-AI Journey Mapping: Understanding customer data infrastructure and designing pathways to AI-driven insights and automation
Presales at Siemens is a broad discipline that encompasses elements of data science, data engineering, software engineering, consulting, business analytics, and AI/ML solution architecture. Individuals with technical or business backgrounds who enjoy immersing themselves in new technologies, are excited about the AI revolution, enjoy working with customers and are motivated to find excellent solutions to tough problems can excel in our environment.
This is an exceptional opportunity to be at the cutting edge of the AI transformation, helping enterprises build the knowledge foundations that will power the next generation of intelligent systems and autonomous agents through our industry-leading Altair Graph Studio and Graph Lakehouse platform.
In addition to experienced presales, sales engineering, or technical sales professionals, we encourage candidates new to presales with any relevant background or experience in data, AI/ML, or emerging technology adoption to apply.
Pre-sales Consultants influence and support the sales process with a powerful combination of technical product knowledge, industry domain expertise and business acumen, with particular emphasis on deep discovery of customer AI/data ecosystems and strategic positioning of emerging AI technologies.Data is the Battleground where winning businesses transform into AI-driven enterprises. Our flagship Knowledge Graph platform, including Altair Graph Studio and Altair Graph Lakehouse, differentiates in the highly competitive and hyper-growth data platform market by serving as the critical foundation for Agentic and Generative AI initiatives. Our Knowledge Graph platform allows customers to integrate and discover data through enterprise data fabric while enabling sophisticated AI agents and LLMs to reason over enterprise knowledge with unprecedented accuracy and context. The platform's secret sauce is a nexus of semantic technology, graph databases and cloud computing that delivers at speed and scale never before possible - now supercharged as the essential enabler for next-generation AI applications. We need you to help us make it happen even faster! We are seeking a Principal Presales Consultant to match capabilities of our Altair Graph Studio, Altair Graph Lakehouse, and comprehensive suite of data analytics tools to business problems in the data management, analytics, and AI transformation space. Pre-sales are all about showing value to the customer through comprehensive discovery of their AI/data ecosystem maturity, strategic AI initiatives, and positioning our Knowledge Graph platform as the foundational layer for Agentic AI success. We're looking for smart self-starters with strong analytical and problem-solving skills in the modern data management, data engineering, and AI/ML implementation space to be the pointy end of the spear for Siemens DISW. Key Focus Areas: AI Ecosystem Assessment: Deep discovery of customer AI/ML maturity, existing AI initiatives, and strategic AI roadmapsAgentic AI Enablement: Positioning our Knowledge Graph platform as the critical foundation for AI agents, autonomous systems, and intelligent automationGenerative AI Integration: Demonstrating how Altair Graph Studio and Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable enterprise-grade AI applicationsData-to-AI Journey Mapping: Understanding customer data infrastructure and designing pathways to AI-driven insights and automation Presales at Siemens is a broad discipline that encompasses elements of data science, data engineering, software engineering, consulting, business analytics, and AI/ML solution architecture. Individuals with technical or business backgrounds who enjoy immersing themselves in new technologies, are excited about the AI revolution, enjoy working with customers and are motivated to find excellent solutions to tough problems can excel in our environment. This is an exceptional opportunity to be at the cutting edge of the AI transformation, helping enterprises build the knowledge foundations that will power the next generation of intelligent systems and autonomous agents through our industry-leading Altair Graph Studio and Graph Lakehouse platform.In addition to experienced presales, sales engineering, or technical sales professionals, we encourage candidates new to presales with any relevant background or experience in data, AI/ML, or emerging technology adoption to apply.
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